Associate Scientist

University of Miami•Miami, FL

About The Position

The Hussman Institute has an exciting opportunity for an Associate Scientist (AS) position. The incumbent will work on the statistical genetic aspects of Alzheimer’s Disease (AD), as part of several multidisciplinary national and international consortiums. This position will work on research directed towards identifying genes and the mechanisms that they influence to increase the risk of or prevent the onset of AD. This position will also include admixture analysis of several population data sets. As a certified bioinformatician, the AS will also be involved in the functional genomic analysis. The AS primary responsibilities will include data interpretation, manuscript preparation, training of post (pre) doctoral students and master’s level analysts and reporting of results to an international AD community.

Requirements

Ph.D., M.D. or other doctoral level degree required
Minimum 5 years of relevant experience

Responsibilities

Contributes to basic and applied research activities including authorship of scientific publications, technical and agency reports, and patent preparations.
Publishes in refereed journals in collaboration with department leadership or independently.
Supervises research employees and non-exempt staff.
Writes extramural proposals with approval of senior managing staff.
Creates and conducts experiments and analyzes results.
Works with other researchers to use and develop end products.
Provides ready access to all experimental data for the faculty researchers, supervisors, and other relevant staff.
Requests or acquires equipment and supplies for assigned project(s).
Applies for grants to continue research and prepares materials for submission to granting agencies and foundations.
Adheres to University and unit-level policies and procedures and safeguards University assets.
Lead and perform complex analyses of genome-wide association and high throughput sequencing data with particular focus on identification of risk and protective loci relevant to Alzheimer Disease and related dementias.
Design and implement robust statistical frameworks for integrative genomic analyses, including the identification of gene:gene and gene:environment interactions in multi-ancestry populations
Conduct functional bioinformatics and statistical analyses for interpretation of AD-associated loci and genes using computational pipelines developed in R, Python, or other appropriate computing language
Publish original research articles both independently and in conjunction with the principal investigators
Collaborate closely with principal investigators to shape experimental design and analytical strategies, ensuring reproducibility and high statistical rigor; suggest changes to current protocols that would enhance ability to complete project aims more readily
Maintain active engagement with the scientific literature to integrate emerging techniques in statistical genetics and computational biology into ongoing projects
Supervise, train and instruct fellows, students, and staff in computational genomics, emphasizing best practices in statistical modeling, reproducible research, and open-source software development.
Seek independent funding from federal agencies and foundations for original research efforts with the appropriate guidance from institute leadership
Participate and contribute to grant applications in large international consortia research collaborations as MPI or Co-Investigator to advance the understanding of complex disease with focus on Alzheimer Disease and related dementias
Adhere to University and unit-level policies and procedures and safeguards University assets